2024-05-07 New Zealand Dollar News
2024-05-06
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Understanding the Overall Trend of the Exchange Rates
Analysing the given time series data, the overall trend appears to be relatively stable with minor fluctuations. The exchange rate started around 0.82119 and ended around 0.82184 which shows that there was a slight increase in the exchange rate over the given time period. However, the changes are not drastic and can be considered as normal fluctuations in an open market setting.
2. Seasonality and Recurring Patterns
Throughout the given time range, there appears to be a consistent pattern of fluctuation within each day. It's important to note that foreign exchange markets are profoundly affected by market open and close hours. For example, when the market opens, there is often increased trading activity which can cause exchange rates to vary more. The data indicates periodic increases and decreases suggesting the existence of intra-day seasonality. This is most likely related to the trading sessions of the various financial markets around the world.
3. Identification of Outliers
In this particular dataset, there doesn't appear to be a substantial presence of standalone outliers. Most of the data points seem to be in range with the overall trend. While there is fluctuation, these movements fit within normal market volatility. However, the observations around the values of 0.82276 and 0.82351 seem to show short but noticeable jumps in the exchange rate compared to the data around them, potentially indicating increased trading activity or significant news events during these periods. Nevertheless, without the explicit identification of outliers algorithm or rule, this is a subjective observation.
Conclusion
It's essential to note that while a certain trend can be discerned from this analysis, its prediction power is limited. Financial markets are highly sensitive and contingent on numerous variables. Future predictions and trends require the inclusion of other economic, political and social indicators.